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ChatGPT cannot pass FRCOphth examinations: implications for ophthalmology and large language model artificial intelligence

Large language models are generating a lot of hype for artificial intelligence, but can they assist patients and practitioners in ophthalmology? Introduction Deep learning (DL) has emerged in ophthalmology as an exciting form of artificial intelligence (AI) most commonly applied...

Uveal melanoma

Uveal melanoma is the most common primary intraocular tumour. However, they are still rare, with an incidence of 2-8 per million [1]. The presence of a choroidal naevus is a risk factor for uveal melanoma [1]. Patients with choroidal lesions...

A novel integrated practice unit (IPU) approach to periocular skin cancer management

The COVID-19 pandemic was one of the biggest challenges to face NHS workers. However, history has repeatedly shown that times of difficulty can result in the development of significant social and technological advances. We describe our own experience of this...

Blinded by an Ofsted inspection

Introduction The Association of Health Professions in Ophthalmology (AHPO) is a charity, whose objectives are to promote the practice, education, training and research in ophthalmology and vision science in the UK. The extraordinary developments in diagnostic equipment and technologies have...

Progress for a more sustainable practice in ophthalmology

Climate change is widely considered to be the greatest threat to health in the 21st century and is accompanied by other environmental considerations such as air and water pollution that impact on human health [1,2]. These problems are, in no...

Blind: Chris McCausland

In the busy, stressful lives that many of us lead, a good way to unwind in the evenings is to watch one of the celebrity panel TV shows such as Would I Lie To You? or Have I Got News...

Strengthening the signal: Advancing oculomics research for systemic health insights

Oculomics, the study of how ocular structure reflects systemic health, is poised to become an integral tool for predicting, triaging, and diagnosing a wide range of diseases. By analysing data from the eye, particularly the retina, healthcare providers can gain...

General purpose AI: Transitioning from high performance in highly curated settings to useful applications in ophthalmology

Artificial intelligence (AI) may be understood as the ability of machines to perform tasks which otherwise require human perception, reasoning, or learning. With the advent of deep learning, AI has achieved remarkable results across a wide range of medical tasks...